{"id":"W857402252","doi":"","title":"Comparing and optimizing cholesterol extraction from hydrogel and silicone hydrogel contact lens materials","year":2014,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Silicone hydrogel; Contact lens; Silicone; Self-healing hydrogels; Lens (geology); Extraction (chemistry); Materials science; Composite material; Chemistry; Polymer chemistry; Ophthalmology; Chromatography; Engineering; Medicine; Petroleum engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000693757,0.0002537846,0.0005353249,0.0001363869,0.0003361589,0.00009570148,0.0001301012,0.00013662,0.00004294607],"category_scores_gemma":[0.0002925884,0.0002289432,0.00003160798,0.0002134654,0.001704858,0.0006039396,0.0001679394,0.0002489176,0.00002631716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006351493,"about_ca_system_score_gemma":0.00009843001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007102627,"about_ca_topic_score_gemma":0.000009820144,"domain_scores_codex":[0.9981348,0.0001112732,0.0003191141,0.0007118261,0.0002859627,0.0004370321],"domain_scores_gemma":[0.9989417,0.0001842195,0.0001845278,0.0002391569,0.00009467507,0.0003557604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003993916,0.00004255079,0.2218868,0.00001425682,0.00002370584,0.00004247325,0.000491261,0.000002993263,0.7771776,0.0001408752,7.040485e-7,0.0001368035],"study_design_scores_gemma":[0.0007787043,0.0004783248,0.3899923,0.000116763,0.000052719,0.0002569727,0.0001978275,0.001536143,0.6057331,0.0006790874,0.00001490741,0.0001631652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983659,0.0001459776,0.00001792563,0.0003155599,0.0001703492,0.0002986373,0.000005900284,0.00005001223,0.0006297808],"genre_scores_gemma":[0.9981275,0.00001636794,0.0011685,0.0005215722,0.00008811586,0.00001557361,0.00001086297,0.00001883316,0.00003266285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1714445,"threshold_uncertainty_score":0.9336033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.043891238553605,"score_gpt":0.321867239012687,"score_spread":0.277976000459082,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}